Call for Papers 2020

Apr 2021 - Volume 12, Issue 2
Deadline: 15 Mar 2021
Publication: 20 Apr 2021

Jun 2021 - Volume 12, Issue 3
Deadline: 15 May 2021
Publication: 20 Jun 2021


Indexed in

IJCSE Indexed in Scopus


Title : A Novel attack detection and encryption Framework for Distributed Cloud Computing
Authors : Prasanna Balaji Narasingapuram, M. Ponnavaikko
Keywords : Encryption, Decryption, attack detection, NaiveBayes Classifier, DDOS attack, Third Party Auditor(TPA),KNN, botnet, sigmoid capacity based strategic relapse method, Randomforest, Cloud Service Provider (CSP),Cloud Security.
Issue Date : Jan-Feb 2021
Abstract :
Cloud Computing has advanced as another worldview in which clients can use on-request services, as indicated by their necessities. Nonetheless, security concerns are essential obstructions to a more extensive reception of clouds. Recently conceived ideas that clouds presented, for example, multitenancy, asset sharing and redistributing, make new difficulties for the security research. DDoS (Distributed Denial of service) attack is the greatest danger to the cloud since it influences the availability of services. The objective of this exploration is to build up a security service calculation that lessen the time intricacy, increment the security level and improves the presentation in different factors. The presentation consequence of this proposed calculation is investigated by contrasting it and other existing cryptographic calculations. This exploration work centers primarily around plan a data security calculation to decrease the encryption and decoding time and attack discovery in cloud environment. A progression of investigations were performed and the outcomes exhibit that this methodology can effectively recognize and relieve DDoS attacks from an assortment of known and obscure sources. The Optimised results like accuracy, precision and recall produced by KNN(k=4) compare with other models for this research work. This model has given the optimal solutions.
Page(s) : 210-216
ISSN : 0976-5166
Source : Vol. 12, No.1
PDF : Download
DOI : 10.21817/indjcse/2021/v12i1/211201249